Correlation Between Aqr Managed and Equinox Chesapeake
Can any of the company-specific risk be diversified away by investing in both Aqr Managed and Equinox Chesapeake at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Aqr Managed and Equinox Chesapeake into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aqr Managed Futures and Equinox Chesapeake Strategy, you can compare the effects of market volatilities on Aqr Managed and Equinox Chesapeake and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Aqr Managed with a short position of Equinox Chesapeake. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Managed and Equinox Chesapeake.
Diversification Opportunities for Aqr Managed and Equinox Chesapeake
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aqr and Equinox is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Managed Futures and Equinox Chesapeake Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Equinox Chesapeake and Aqr Managed is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Aqr Managed Futures are associated (or correlated) with Equinox Chesapeake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Equinox Chesapeake has no effect on the direction of Aqr Managed i.e., Aqr Managed and Equinox Chesapeake go up and down completely randomly.
Pair Corralation between Aqr Managed and Equinox Chesapeake
Assuming the 90 days horizon Aqr Managed Futures is expected to generate 1.48 times more return on investment than Equinox Chesapeake. However, Aqr Managed is 1.48 times more volatile than Equinox Chesapeake Strategy. It trades about -0.11 of its potential returns per unit of risk. Equinox Chesapeake Strategy is currently generating about -0.3 per unit of risk. If you would invest 877.00 in Aqr Managed Futures on October 5, 2024 and sell it today you would lose (20.00) from holding Aqr Managed Futures or give up 2.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aqr Managed Futures vs. Equinox Chesapeake Strategy
Performance |
Timeline |
Aqr Managed Futures |
Equinox Chesapeake |
Aqr Managed and Equinox Chesapeake Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aqr Managed and Equinox Chesapeake
The main advantage of trading using opposite Aqr Managed and Equinox Chesapeake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Managed position performs unexpectedly, Equinox Chesapeake can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Equinox Chesapeake will offset losses from the drop in Equinox Chesapeake's long position.Aqr Managed vs. Bbh Intermediate Municipal | Aqr Managed vs. Multisector Bond Sma | Aqr Managed vs. Artisan High Income | Aqr Managed vs. Calamos Dynamic Convertible |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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